Requires the President to establish a National Artificial Intelligence Initiative to support AI-related research, education, workforce development, planning, and international cooperation; creates new AI-related research and funding programs within several federal agencies.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has minimal coverage of specific AI risk domains, with most coverage at score 2 (minimal). The document primarily focuses on establishing governance structures, research programs, and educational initiatives rather than addressing specific AI risks. There is some coverage of governance failure (6.5), competitive dynamics (6.4), and lack of transparency (7.4), but most risk domains receive only brief mentions or no coverage at all.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
This document governs AI research, development, and deployment across multiple sectors through federal programs and coordination. It explicitly addresses Scientific Research and Development Services (primary focus), Educational Services, Public Administration, National Security, Health Care, and Information sectors. The governance is primarily through federal research funding, standards development, and coordination mechanisms rather than direct regulation of private sector activities.
Hard Law
Legislative Status Summary
This is a binding federal statute enacted by the United States Congress with mandatory language throughout, establishing legal obligations for federal agencies and authorizing specific appropriations with enforcement through federal administrative and budgetary mechanisms.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document comprehensively covers all AI lifecycle stages, with particular emphasis on Plan and Design (through strategic planning and framework development), Build and Use Model (through research programs and institutes), and Operate and Monitor (through ongoing coordination and assessment). The document addresses the entire AI development pipeline from initial research through deployment and monitoring.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and extensively covers AI systems and AI models as core concepts. It does not specifically mention frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, or open-weight models. There are no compute thresholds specified. The focus is on broad AI research and development across all types of AI systems without distinguishing between specific AI paradigms or model types.
Document data from AGORA, CSET Emerging Technology Observatory.